Articles with "model parameter" as a keyword



Multiobjective constraints for climate model parameter choices: Pragmatic Pareto fronts in CESM1: MULTIOBJECTIVE CONSTRAINTS FOR CLIMATE MODEL PARAMETER CHOICES

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Published in 2017 at "Journal of Advances in Modeling Earth Systems"

DOI: 10.1002/2017ms000942

Abstract: Global climate models (GCMs) are examples of high-dimensional input-output systems, where model output is a function of many variables, and an update in model physics commonly improves performance in one objective function (i.e., measure of… read more here.

Keywords: climate model; multiobjective constraints; model parameter; model ... See more keywords
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Poroelastic model parameter identification using artificial neural networks: on the effects of heterogeneous porosity and solid matrix Poisson ratio

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Published in 2020 at "Computational Mechanics"

DOI: 10.1007/s00466-020-01868-4

Abstract: Predictive analysis of poroelastic materials typically require expensive and time-consuming multiscale and multiphysics approaches, which demand either several simplifications or costly experimental tests for model parameter identification.This problem motivates us to develop a more efficient… read more here.

Keywords: parameter identification; poroelastic model; model parameter; model ... See more keywords
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An open source pipeline for design of experiments for hyperelastic models of the skin with applications to keloids.

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Published in 2020 at "Journal of the mechanical behavior of biomedical materials"

DOI: 10.1016/j.jmbbm.2020.103999

Abstract: The aim of this work is to characterize the mechanical parameters governing the in-plane behavior of human skin and, in particular, of a keloid-scar. We consider 2D hyperelastic bi-material model of a keloid and the… read more here.

Keywords: model parameter; experimental measurements; model; design experiments ... See more keywords

Mono‐Model Parameter Joint Inversion by Gramian Constraints: EM Methods Examples

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Published in 2019 at "Earth and Space Science"

DOI: 10.1029/2019ea000605

Abstract: Joint inversions of coincident geophysical data are usually constrained to produce more reliable subsurface models. Structural, petrophysical, model parameter correlation, empirical, and transforms are some of the published constraints. The Gramian constraint provides a broad… read more here.

Keywords: model; model parameter; joint inversion; gramian constraint ... See more keywords

An Improved Model Parameter‐Free Predictive Control With Fast Gradient Updating for Three‐phase Three‐Level Inverters

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Published in 2025 at "IET Power Electronics"

DOI: 10.1049/pel2.70064

Abstract: Look‐up‐table (LUT) based model parameter‐free predictive control (MFPC) suffers from long update time and large storage requirement, particularly when applied to multi‐level inverters. To address these challenges, this paper proposes an improved MFPC with fast… read more here.

Keywords: parameter free; predictive control; model parameter; free predictive ... See more keywords
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Computations of predictors/estimators under a linear random-effects model with parameter restrictions

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Published in 2019 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2018.1476714

Abstract: Abstract This paper considers the problem of simultaneously predicting/estimating unknown parameter spaces in a linear random-effects model with both parameter restrictions and missing observations. We shall establish explicit formulas for calculating the best linear unbiased… read more here.

Keywords: model parameter; parameter restrictions; random effects; effects model ... See more keywords

Signal extraction goodness-of-fit diagnostic tests under model parameter uncertainty: Formulations and empirical evaluation

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Published in 2017 at "Econometric Reviews"

DOI: 10.1080/07474938.2016.1140277

Abstract: ABSTRACT We present a time-domain goodness-of-fit (gof) diagnostic test that is based on signal-extraction variances for nonstationary time series. This diagnostic test extends the time-domain gof statistic of Maravall (2003) by taking into account the… read more here.

Keywords: goodness fit; diagnostic test; model parameter; time ... See more keywords

Adaptive Kalman Filtering Based on Model Parameter Ratios

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Published in 2024 at "IEEE Transactions on Automatic Control"

DOI: 10.1109/tac.2024.3376306

Abstract: This article studies an adaptive Kalman filter method based on model parameter ratio. The model parameter ratio theory is proposed for the first time, and the adaptive estimation problem is transformed into a constrained optimization… read more here.

Keywords: based model; model parameter; adaptive kalman; model ... See more keywords

Pole-Zero Cancellation Speed and Acceleration Filtering Technique With Disturbance Observer for Servo Drive Applications Without Model Parameter Information

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Published in 2025 at "IEEE Transactions on Circuits and Systems I: Regular Papers"

DOI: 10.1109/tcsi.2024.3491217

Abstract: This paper is concerned with the problem of robustly estimating the speed and acceleration of servo drives without the system model parameter information, depending on only the order of the open-loop system. The proposed filtering… read more here.

Keywords: pole zero; model parameter; parameter information; speed acceleration ... See more keywords

Statistical Response of ENSO Complexity to Initial Condition and Model Parameter Perturbations

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Published in 2024 at "Journal of Climate"

DOI: 10.1175/jcli-d-24-0017.1

Abstract: Studying the response of a climate system to perturbations has practical significance. Standard methods in computing the trajectory-wise deviation caused by perturbations may suffer from the chaotic nature that makes the model error dominate the… read more here.

Keywords: enso; response; model parameter; parameter perturbations ... See more keywords

A novel fast and efficient adaptive shuffled complex evolution algorithm for model parameter calibration

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Published in 2024 at "Frontiers in Environmental Science"

DOI: 10.3389/fenvs.2023.1341017

Abstract: The research and optimization of hydrological forecasting models are among the most crucial components in the scope of water management and flood protection. Optimizing the calibration of hydrological forecasting models is crucial for forecasting performance.… read more here.

Keywords: shuffled complex; model parameter; model; complex evolution ... See more keywords